DISSERTATION PRESENTATION
Data Mining Implementation for Libraries
Using DAMIM Methodology
by
Rabindranath Raj
Data Mining System in for Libraries cont.
Step 2 : Architecture Framework
The diagram below is the high over view of the system architecture.
We
Clementine Tutorial
This tutorial will introduce you to the
Clementine toolkit for data mining and
show you how to get started with your own
data mining project.
The first part provides a tour of the
workspace, including an update of what's
new in this
Lab 4
Modeling
So far, by exploring and manipulating the
data, you have been able to see some
patterns emerge. The ratio of sodium to
potassium in the blood affects the choice
of drug, as does blood pressure. But you
cannot fully explain all of the relat
Lab3
Additional Data Exploration
Before moving on to modeling, let's look at
one more exploratory graph that may
provide further insight.
Since many of the data fields are symbolic
(categorical), try plotting a web graph,
which is appropriate for symbol
Chapter 3
Pre-Mining
Content
Introduction
Proposed New Framework for a
Conceptual Data Warehouse
Selecting
Missing Value
Point Estimation
Jackknife estimate
Content
Why preprocess the data?
Data cleaning
Data integration and transformation
Data reduct
Introduction to Data Mining
Chapter 1
1
Chapter 1 Outline
Background
Information is Power
Knowledge is Power
Data Mining
2
Introduction
3
4
Information is Power
Relevant
Right Information
Globalised world
Vast amount of information available
5
What
Data Warehouses
Chapter 2
1
Chapter 2 Outline
Introduction
Data Warehouses
OLTP vs. OLAP
Why Separate Data Warehouse?
A multi-dimensional data model
Data warehouse architecture
Data warehouse implementation
2
Merger of Malaysian Banks
3
Jobstreet.c
Lab 2
Exploring the Data with Graphs
During data mining, it is often useful to
explore the data by creating visual
summaries. Clementine offers several
different types of graphs to choose from,
depending on the kind of data that you
want to summarise.
F